Ling-tao Yu
Papers
1
Total Citations
6
H-Index
1
About
Ling-tao Yu is a researcher at the forefront of surgical robotics, with a primary focus on the design and control of micromanipulators for minimally invasive procedures. His key research areas include robotic position estimation, sensorless control strategies, and the development of intelligent models for surgical tool navigation. Yu’s most notable contribution is his work on a position estimator for rope-driven micromanipulators, which addresses a critical challenge in surgical robotics: the inability to install position sensors at the tool’s distal end due to space constraints. By proposing a parameter autonomous selection model, he enables accurate position detection and control without physical sensors, significantly advancing the precision and safety of robotic-assisted surgery. This work, published in 2023, has already garnered 6 citations, reflecting its timely relevance and potential for real-world application. Yu’s research bridges the gap between mechanical design and intelligent control, offering practical solutions for the next generation of surgical robots. His contributions are particularly valuable for researchers and engineers working on compact, high-precision robotic systems for medical interventions.
Research Focus
Key Achievements
Top Papers
- 1